Bee Algorithm for Optimization of Antisymmetric composite Laminates

In this paper, the Bee Algorithm (BA), a nature inspired search algorithm, has been developed for non-linear problems with discrete variables and implemented successfully for multi-objective design optimization of Antisymmetric Angle-ply laminate under four kind of transverse loading with simply supported. The optimization aims are maximizing the allowable load, minimizing weight, minimizing cost and minimizing the maximum deflection in plate. The four kinds of loading that applied to the laminate are uniform load, point load, line load and Hydrostatic load. Classical lamination plate theory and Navier solution is used to obtain stresses and deflection of the plate. The failure mechanism of the problem is Tsai-Wu criterion. To optimize the problem, the bees algorithm is used. The ply orientations and thickness of plate are chosen as the primary optimization variables.

کلیدواژه ها:

Multi objective optimization ، Bee algorithm ، Antisymmetric composite laminates